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Frédéric Champagnat
Frédéric Champagnat
Senior Researcher, ONERA, The French Aerospace Lab
Verified email at onera.fr
Title
Cited by
Cited by
Year
Fast and accurate PIV computation using highly parallel iterative correlation maximization
F Champagnat, A Plyer, G Le Besnerais, B Leclaire, S Davoust, Y Le Sant
Experiments in fluids 50 (4), 1169-1182, 2011
1952011
Dense optical flow by iterative local window registration
G Le Besnerais, F Champagnat
IEEE International Conference on Image Processing 2005 1, I-137, 2005
1232005
Unsupervised deconvolution of sparse spike trains using stochastic approximation
F Champagnat, Y Goussard, J Idier
IEEE Transactions on Signal Processing 44 (12), 2988-2998, 1996
1171996
Massively parallel Lucas Kanade optical flow for real-time video processing applications
A Plyer, G Le Besnerais, F Champagnat
Journal of Real-Time Image Processing 11 (4), 713-730, 2016
1092016
A direct approach for instantaneous 3D density field reconstruction from background-oriented schlieren (BOS) measurements
F Nicolas, V Todoroff, A Plyer, G Le Besnerais, D Donjat, F Micheli, ...
Experiments in fluids 57 (1), 1-21, 2016
962016
Principles and applications of particle image velocimetry
C Brossard, JC Monnier, P Barricau, FX Vandernoot, Y Le Sant, ...
Aerospace Lab, p. 1-11, 2009
712009
An improved observation model for super-resolution under affine motion
G Rochefort, F Champagnat, G Le Besnerais, JF Giovannelli
IEEE Transactions on Image Processing 15 (11), 3325-3337, 2006
582006
A connection between half-quadratic criteria and EM algorithms
F Champagnat, J Idier
IEEE Signal Processing Letters 11 (9), 709-712, 2004
542004
Passive depth estimation using chromatic aberration and a depth from defocus approach
P Trouvé, F Champagnat, G Le Besnerais, J Sabater, T Avignon, J Idier
Applied optics 52 (29), 7152-7164, 2013
492013
On regression losses for deep depth estimation
M Carvalho, B Le Saux, P Trouvé-Peloux, A Almansa, F Champagnat
2018 25th IEEE International Conference on Image Processing (ICIP), 2915-2919, 2018
482018
3D reconstruction of a compressible flow by synchronized multi-camera BOS
F Nicolas, D Donjat, O Léon, G Le Besnerais, F Champagnat, F Micheli
Experiments in fluids 58 (5), 1-15, 2017
452017
Point target detection and subpixel position estimation in optical imagery
V Samson, F Champagnat, JF Giovannelli
Applied Optics 43 (2), 257-263, 2004
452004
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
M Carvalho, B Le Saux, P Trouvé-Peloux, A Almansa, F Champagnat
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
442018
Time-space regularization of the inverse problem of electrocardiography
J El-Jakl, F Champagnat, Y Goussard
Proceedings of 17th International Conference of the Engineering in Medicine …, 1995
401995
GM-PHD filters for multi-object tracking in uncalibrated aerial videos
E Pollard, A Plyer, B Pannetier, F Champagnat, G Le Besnerais
2009 12th International Conference on Information Fusion, 1171-1178, 2009
382009
Stationary Markov random fields on a finite rectangular lattice
F Champagnat, J Idier, Y Goussard
IEEE Transactions on Information Theory 44 (7), 2901-2916, 1998
371998
Single image local blur identification
P Trouvé, F Champagnat, G Le Besnerais, J Idier
2011 18th IEEE International Conference on Image Processing, 613-616, 2011
352011
Dense height map estimation from oblique aerial image sequences
G Le Besnerais, M Sanfourche, F Champagnat
Computer vision and image understanding 109 (2), 204-225, 2008
352008
Tomographic PIV: particles versus blobs
F Champagnat, P Cornic, A Cheminet, B Leclaire, G Le Besnerais, A Plyer
Measurement Science and Technology 25 (8), 084002, 2014
322014
Another look at volume self-calibration: calibration and self-calibration within a pinhole model of Scheimpflug cameras
P Cornic, C Illoul, A Cheminet, G Le Besnerais, F Champagnat, Y Le Sant, ...
Measurement Science and Technology 27 (9), 094004, 2016
302016
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